A Deep Learning Model Enhances Clinicians' Diagnostic Accuracy to More Than 96% for Anterior Cruciate Ligament Ruptures on Magnetic Resonance Imaging.

Journal: Arthroscopy : the journal of arthroscopic & related surgery : official publication of the Arthroscopy Association of North America and the International Arthroscopy Association
Published Date: Aug 18, 2023

Abstract

PURPOSE: To develop a deep learning model to accurately detect anterior cruciate ligament (ACL) ruptures on magnetic resonance imaging (MRI) and to evaluate its effect on the diagnostic accuracy and efficiency of clinicians.

Authors

  • Ding-Yu Wang
    Department of Sports Medicine, Peking University Third Hospital, Institute of Sports Medicine of Peking University, Beijing, China; Beijing Key Laboratory of Sports Injuries, Beijing, China; Engineering Research Center of Sports Trauma Treatment Technology and Devices, Ministry of Education, Beijing, China.
  • Shang-Gui Liu
    Department of Sports Medicine, Peking University Third Hospital, Institute of Sports Medicine of Peking University, Beijing, China; Beijing Key Laboratory of Sports Injuries, Beijing, China; Engineering Research Center of Sports Trauma Treatment Technology and Devices, Ministry of Education, Beijing, China.
  • Jia Ding
    Antai College of Economics and Management, Shanghai Jiao Tong University, Shanghai, China.
  • An-Lan Sun
    Beijing Yizhun Medical AI Co., Ltd, Beijing, China.
  • Dong Jiang
  • Jia Jiang
    College of Chemistry, Jilin University, Qianjin Street 2699, Changchun, Jilin, 130012, China.
  • Jin-Zhong Zhao
    Department of Sports Medicine, Shanghai Jiaotong University Affiliated Sixth People's Hospital, Shanghai, China.
  • De-Sheng Chen
    Department of Sports Medicine and Arthroscopy, Tianjin Hospital of Tianjin University, Tianjin, China.
  • Gang Ji
  • Nan Li
    School of Basic Medical Sciences, Jiamusi University No. 258, Xuefu Street, Xiangyang District, Jiamusi 154007, Heilongjiang, China.
  • Hui-Shu Yuan
    Department of Radiology,Peking University Third Hospital,Beijing 100191,China.
  • Jia-Kuo Yu
    Department of Sports Medicine, Peking University Third Hospital, Institute of Sports Medicine of Peking University, Beijing, China; Beijing Key Laboratory of Sports Injuries, Beijing, China; Engineering Research Center of Sports Trauma Treatment Technology and Devices, Ministry of Education, Beijing, China. Electronic address: yujiakuo@126.com.

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